APOGEE-centric Ananke simulations in a SciServer SQL database

Rachael Beaton*, Suzanne Werner, Arik Mitschang, Gerard Lemson, Aniruddha Thakar, Anne-Marie Weijmans, Joel Brownstein, Farnik Nikakhtar, Robyn Sanderson, Andrew Wetzel, Sarah Loebman, Sanjib Sharma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Modern galaxy simulations have reached the complexity required to create sophisticated mock catalogs. Ananke is a set of nine mock catalogs constructed from synthetic surveys of three Milky Way-like galaxies from the Latte suite of FIRE simulations. Ananke provides observed quantities for comparison with modern large-scale stellar surveys. In SDSS-IV DR17, mock catalogs for the Apache Point Galactic Evolution Experiment (APOGEE) were built from Ananke synthetic surveys as a Value-Added Catalog, but were only provided as large flat files (∼>10's GB). Here we announce an >40 Tb SQL database for nine APOGEE-specific mock catalogs and describe additions to the data model necessary for effective user queries. The catalogs can be accessed on the free, science platform, SciServer—supported by the Institute for Data Intensive Engineering and Science at the Johns Hopkins University (IDIES); SciServer supports server-side analysis with commonly used coding languages and tools.
Original languageEnglish
Article number125
JournalResearch Notes of the AAS
Issue number6
Early online date15 Jun 2022
Publication statusPublished - Jun 2022


  • Catalogs
  • Milky Way galaxy
  • Surveys
  • Redshift surveys
  • Astronomy databases


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